`Travelled to:`

1 × Canada

1 × China

1 × Finland

1 × Slovenia

4 × USA

`Collaborated with:`

J.Bi A.Demiriz J.Shawe-Taylor E.J.Bredensteiner Z.Zhu Q.Ji T.Zhang R.Maclin M.Momma M.J.Embrechts U.M.Fayyad D.Geiger C.Bergeron J.Zaretzki C.M.Breneman D.Wu N.Cristianini

`Talks about:`

boost (3) algorithm (2) regress (2) generat (2) method (2) kernel (2) column (2) characterist (1) transduct (1) nonlinear (1)

## Person: Kristin P. Bennett

### DBLP: Bennett:Kristin_P=

### Facilitated 1 volumes:

### Contributed to:

### Wrote 10 papers:

- ICML-2008-BergeronZBB #multi #ranking
- Multiple instance ranking (CB, JZ, CMB, KPB), pp. 48–55.
- ICPR-v1-2006-ZhuJB #estimation
- Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression (ZZ, QJ, KPB), pp. 1132–1135.
- KDD-2004-BiZB #kernel
- Column-generation boosting methods for mixture of kernels (JB, TZ, KPB), pp. 521–526.
- ICML-2003-BiB #fault
- Regression Error Characteristic Curves (JB, KPB), pp. 43–50.
- KDD-2002-BennettDM
- Exploiting unlabeled data in ensemble methods (KPB, AD, RM), pp. 289–296.
- KDD-2002-BennettME #algorithm #kernel #modelling #named
- MARK: a boosting algorithm for heterogeneous kernel models (KPB, MM, MJE), pp. 24–31.
- ICML-2000-BennetDS #algorithm #generative
- A Column Generation Algorithm For Boosting (KPB, AD, JST), pp. 65–72.
- ICML-2000-BennettB #classification #geometry
- Duality and Geometry in SVM Classifiers (KPB, EJB), pp. 57–64.
- ICML-1999-WuBCS #induction #scalability
- Large Margin Trees for Induction and Transduction (DW, KPB, NC, JST), pp. 474–483.
- KDD-1999-BennettFG #approximate #nearest neighbour #query
- Density-Based Indexing for Approximate Nearest-Neighbor Queries (KPB, UMF, DG), pp. 233–243.